Results 31 to 40 of about 640,764 (331)
Effects of finite strains in fully coupled 3D geomechanical simulations [PDF]
, 2019 Numerical modeling of geomechanical phenomena and geo-engineering problems often involves complex issues related to several variables and corresponding coupling effects.
De Marchi, Nico +2 more
core +1 more source
Parameter estimation and treatment optimization in a stochastic model for immunotherapy of cancer [PDF]
, 2020 Adoptive Cell Transfer therapy of cancer is currently in full development and mathematical modeling is playing a critical role in this area. We study a stochastic model developed by Baar et al.
Coquille, Loren +2 more
core +2 more sources
Ecology and Evolution, 2019 Increasingly, often ecologist collects data with nonlinear trends, heterogeneous variances, temporal correlation, and hierarchical structure. Nonlinear mixed‐effects models offer a flexible approach to such data, but the estimation and interpretation of ...
Facundo J. Oddi +4 more
doaj +1 more source
A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Fahrmeir, Ludwig, Kneib, Thomas
core +2 more sources
Nonlinear Mixed-Effects Modeling of MNREAD Data
Investigative Opthalmology & Visual Science, 2008 It is often difficult to estimate parameters from individual clinical data because of noisy or incomplete measurements. Nonlinear mixed-effects (NLME) modeling provides a statistical framework for analyzing population parameters and the associated variations, even when individual data sets are incomplete. The authors demonstrate the application of NLME
Cheung, SH +3 more
openaire +4 more sources
A Bayesian Nonlinear Mixed-Effects Disease Progression Model [PDF]
Journal of Biometrics & Biostatistics, 2015 A nonlinear mixed-effects approach is developed for disease progression models that incorporate variation in age in a Bayesian framework. We further generalize the probability model for sensitivity to depend on age at diagnosis, time spent in the preclinical state and sojourn time. The developed models are then applied to the Johns Hopkins Lung Project
Seongho, Kim +3 more
openaire +2 more sources
Predicting patterns of terrestrial lichen biomass recovery following boreal wildfires
Ecosphere, 2021 Increased fire activity due to climate change may impact the successional dynamics of boreal forests, with important consequences for caribou habitat. Early successional forests have been shown to support lower quantities of caribou forage lichens, but ...
Ruth J. Greuel +12 more
doaj +1 more source
iForest - Biogeosciences and Forestry, 2016 A generalized non-linear tree crown diameter model was developed with the aim of allowing the computation of tree crown diameter over a large range of tree dimensions, and allowing its inclusion in forest growth and yield models. The model was formulated
Paulo Joana A +3 more
doaj +1 more source
A Bayesian semiparametric latent variable model for mixed responses [PDF]
, 2006 In this article we introduce a latent variable model (LVM) for mixed ordinal and continuous responses, where covariate effects on the continuous latent variables are modelled through a flexible semiparametric predictor. We extend existing LVM with simple
Fahrmeir, Ludwig, Raach, Alexander
core +4 more sources
Journal of Probability and Statistics, 2014 Population pharmacokinetic (PPK) models play a pivotal role in quantitative pharmacology study, which are classically analyzed by nonlinear mixed-effects models based on ordinary differential equations.
Fang-Rong Yan +6 more
doaj +1 more source